Identification of Specific Substances in the FAIMS Spectra of Complex Mixtures Using Deep Learning. - Hua Li 010; Jiakai Pan; Hongda Zeng; Zhencheng Chen; Xiaoxia Du; Wenxiang Xiao (Sensors, 2021)

Crown Information Extraction and Annual Growth Estimation of a Chinese Fir Plantation Based on Unmanned Aerial Vehicle-Light Detection and Ranging. - Jingfeng Xiong; Hongda Zeng; Guo Cai; Yunfei Li; Jing M. Chen; Guofang Miao (Remote. Sens., 2023)

Improving UAV-Based LAI Estimation for Forests Over Complex Terrain by Reducing Topographic Effects on Multispectral Reflectance. - Zhiqiang Cheng; Jing M. Chen; Zhenxiong Guo; Guofang Miao; Hongda Zeng; Rong Wang 011; Zhiqun Huang; Yang Wang (IEEE Trans. Geosci. Remote. Sens., 2024)

Improving Artificial-Intelligence-Based Individual Tree Species Classification Using Pseudo Tree Crown Derived from Unmanned Aerial Vehicle Imagery. - Shengjie Miao; Kongwen (Frank) Zhang; Hongda Zeng; Jane Liu (Remote. Sens., 2024)

Synergetic inversion of leaf area index and leaf chlorophyll content using multi-spectral remote sensing data. - Xiaowen Guo; Rong Wang 011; Jing M. Chen; Zhiqiang Cheng; Hongda Zeng; Guofang Miao; Zhiqun Huang; Zhenxiong Guo; Jianjie Cao; Jinhui Niu (Geo spatial Inf. Sci., 2025)

Improved estimation of the underestimated GEDI footprint LAI in dense forests. - Lijuan Liang; Rong Shang; Jing M. Chen; Mingzhu Xu; Hongda Zeng (Geo spatial Inf. Sci., 2025)